Privacy-aware electricity scheduling for home energy management system
Privacy-aware electricity scheduling for home energy management system
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DOI：
10.1007/s12083-016-0492-x
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发表时间：
2016-07
影响因子：
4.2
通讯作者：
Junjie Yang;Gengqiang Huang;Chunjuan Wei
中科院分区：
文献类型：
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作者：
Junjie Yang;Gengqiang Huang;Chunjuan Wei
在智能电网的背景下，家庭能源管理系统(HEMS)需要通过智能电表采集细粒度的能耗数据。然而，细粒度数据包含消费者的用电模式，这可能会引发严重的隐私问题。为了保护用户的用电隐私，提出了一种面向HEMS的隐私感知的用电调度策略。首先，给出了综合用电管理系统的基本调度模型，其基本调度目标是在满足用户日常用电需求的同时使电费支出最小。在此基础上，建立了基于二次电池的隐私感知优化调度模型，引入偏好因子使消费者在总运营成本和隐私安全性之间进行权衡。通过确定系数和特征个数来衡量电子隐私保护性能。此外，在建模过程中还考虑了电池的运行成本，并讨论了电池容量对隐私保护性能的影响。仿真结果表明，该方法是有效的，具有较强的实际应用价值。
In the context of smart grid, home energy management system (HEMS) needs to collect the fine-grained energy consumption data through smart meters. However, the fine-grained data contain the electricity consumption patterns of consumers, which can induce serious privacy issues. In order to protect the electric privacy of consumers, a privacy-aware electricity scheduling strategy for HEMS is proposed in this paper. Firstly, the basic scheduling model of HEMS is presented, and the basic scheduling objective is to minimize the electricity payment while satisfy the daily power demands of consumers. On this basis, a privacy-aware optimal scheduling model adopting rechargeable batteries is established, and the introduction of preference factor enables consumers to make a tradeoff between the total operation cost and privacy security. The electric privacy protection performance is measured by coefficient of determination and the number of features. Besides, the operation cost of batteries is also considered in the modeling process, and the influence battery capacity has on the performance of privacy protection is discussed. Simulation results show that the proposed method is effective and has strong practical application value.